Overview

The rapid development of Document Intelligence (DI) has transformed traditional Document Analysis and Recognition (DAR) into a sophisticated, AI-driven field. This summer school provides cutting-edge tools for information extraction using Retrieval-Augmented Generation (RAG), Vision-Language Models (VLMs), and structured knowledge representation.

Through a Challenge-Based Learning framework, participants will progress from foundational lectures to hands-on practice sessions and culminate in solving real-world industry challenges in collaborative teams.

Learning Outcomes

• Design and implement DocVQA systems with RAG techniques
• Master multimodal data generation for efficient VLM training
• Build knowledge graphs from complex document collections
• Apply solutions to low-resource and historical document analysis